ReviewFrontiers in robotics and AI2022
Human Factors Considerations and Metrics in Shared Space Human-Robot Collaboration: A Systematic Review.
Review in Frontiers in robotics and AI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 139 citations in OpenAlex.
- Understanding Workers' Well-Being and Cognitive Load in Human-Cobot Collaboration: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Robotic abdominopelvic surgery: a systematic review of cross-platform outcomes.Journal of robotic surgery · 2024Pooled it
- Human-Robot Interaction in Agriculture: A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Workload Intensity in Human-Robot Collaboration: A Personalized Approach to Sustainable Efficiency and Well-Being.Human factors · 2026Article
- The human-robot interaction scale database.Frontiers in robotics and AI · 2026Article
- Exploring Subjective Well-Being in Human-Machine Interaction: Protocol for a Mixed Methods, Cross-Sectional Analysis in Manufacturing 5.0.JMIR research protocols · 2025Article
- Effects of robot arm design and movement speed during human-robot interaction.Applied ergonomics · 2025Article
- Compensating elastic faults in a torque-assisted knee exoskeleton: functional evaluation and user perception study.Journal of neuroengineering and rehabilitation · 2024Article
- Navigation benchmarking for autonomous mobile robots in hospital environment.Scientific reports · 2024Article
- Human Factors Considerations for Quantifiable Human States in Physical Human-Robot Interaction: A Literature Review.Sensors (Basel, Switzerland) · 2023Review
- The Relationships of Human-Cobot Interaction Fluency with Job Performance and Job Satisfaction among Cobot Operators-The Moderating Role of Workload.International journal of environmental research and public health · 2023Article
- Advanced workstations and collaborative robots: exploiting eye-tracking and cardiac activity indices to unveil senior workers' mental workload in assembly tasks.Frontiers in robotics and AI · 2023Article
- Introducing a healthcare-assistive robot in primary care: a preliminary questionnaire survey.Frontiers in robotics and AI · 2023Article
- A Framework and Algorithm for Human-Robot Collaboration Based on Multimodal Reinforcement Learning.Computational intelligence and neuroscience · 2022Article
- Neural Correlates of Trust in Automation: Considerations and Generalizability Between Technology Domains.Frontiers in neuroergonomics · 2021Review
- A Literature Review on Safety Perception and Trust during Human-Robot Interaction with Autonomous Mobile Robots That Apply to Industrial Environments.IISE transactions on occupational ergonomics and human factorsReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The degree of successful human-robot collaboration is dependent on the joint consideration of robot factors (RF) and human factors (HF). Depending on the state of the operator, a change in a robot factor, such as the behavior or level of autonomy, can be perceived differently and affect how the operator chooses to interact with and utilize the robot. This interaction can affect system performance and safety in dynamic ways. The theory of human factors in human-automation interaction has long been studied; however, the formal investigation of these HFs in shared space human-robot collaboration (HRC) and the potential interactive effects between covariate HFs (HF-HF) and HF-RF in shared space collaborative robotics requires additional investigation. Furthermore, methodological applications to measure or manipulate these factors can provide insights into contextual effects and potential for improved measurement techniques. As such, a systematic literature review was performed to evaluate the most frequently addressed operator HF states in shared space HRC, the methods used to quantify these states, and the implications of the states on HRC. The three most frequently measured states are: trust, cognitive workload, and anxiety, with subjective questionnaires universally the most common method to quantify operator states, excluding fatigue where electromyography is more common. Furthermore, the majority of included studies evaluate the effect of manipulating RFs on HFs, but few explain the effect of the HFs on system attributes or performance. For those that provided this information, HFs have been shown to impact system efficiency and response time, collaborative performance and quality of work, and operator utilization strategy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.